Nuzleaf

Sandstorm · 49/100 ·Uncommon

イラスト: Ken Sugimori →

Market price

€6,21

Price history · RAW

2026-05-11 · €1,92 €6,22 · 2026-07-06

Price per print

🇬🇧 Normal · EN n=5 €2,66

この価格の計算方法

ラダー推定 · English · ~€2,66 gelb

根拠	件数	経過	値 vᵢ	重み gᵢ
eigene rohe NM-Verkäufe	2	55 日	€2,51	16.33
eigene LP-Verkäufe ÷ 0.8029	4	44 日	€3,15	5.57

値 = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,66 · Σ g = 21.9

実測誤差（時代×言語のバックテスト）: ±22 %

ゲートが緑でないため価格としては表示されません。

PSA Population EN Σ 83

PSA 10

4 5%

PSA 9

42 51%

PSA 8

20 24%

PSA ≤7

17 20%

PSA + CGC · as of 2026-08-01

Recent sales · 10

2026-07-06	EN	RAW LP	Nuzleaf LP 49/100 Uncommon Sandstorm Pokemon	€2,40
2026-06-30	EN	RAW MP	Nuzleaf 49 100 UC Sandstorm Pokemon MP	€1,79
2026-06-30	EN	RAW LP	NUZLEAF POKEMON SANDSTORM 49/100 UNCOMMON LP	€2,05
2026-06-29	EN	RAW LP	Nuzleaf Uncommon Normal Sandstorm 49/100 LP	€6,22
2026-06-22	EN	RAW NM	Pokemon - Nuzleaf - 49/100 - Uncommon - EX Sandstorm - NM	€2,44
2026-06-21	EN	RAW UNKNOWN	Nuzleaf - 49/100 Sandstorm - Pokémon TCG - 2003	€4,08
2026-06-08	EN	RAW UNKNOWN	Nuzleaf 49/100 Uncommon Sandstorm Regular 2003 Pokemon TCG E	€2,00
2026-06-06	EN	RAW UNKNOWN	Nuzleaf - Uncommon Sandstorm 49/100 HP	€2,05
2026-05-29	EN	RAW NM	Nuzleaf (49/100) [EX: Sandstorm] Near Mint	€2,62
2026-05-11	EN	RAW LP	Nuzleaf 49/100 Uncommon Sandstorm Pokemon Lightly Played	€3,07

Frequently asked questions

What will I get for Nuzleaf Sandstorm 49/100 if I want to sell quickly?

Half of all sales fell between €2,05 and €3,07, with a median of €2,40. Selling fast lands you nearer the lower end; with patience, good photos and a complete title the upper end is achievable.

Below which price is an offer for Nuzleaf Sandstorm 49/100 unrealistic?

The cheapest genuine sales were around €2,00. Offers well below €1,20 are typically fakes, mislabelled cards or a different variant — ask for photos of all four borders and a close-up of the surface.

How does lastsold determine the market value?

lastsold uses only real sales — eBay plus auction houses like Goldin & Fanatics — recent sales count more (recency weighting), outliers and fakes are removed. It's not an estimate but actual sold prices, separated by condition, language and grading.